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appa, yip yip..
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appa, yip yip..

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elsayedelmandoh/README.md

yo, i'm elsayed

typing svg

linkedin x gmail


about me

i'm an nlp engineer currently studying my master's in ai & data science at queen's university in canada, and i build cool things with llms, rag pipelines, and ai agents

previously worked as a ml engineer at electro pi (whole vibe) where i shipped 15+ projects, and taught ai at huawei ict academy to 30+ students

rn i'm building a wan startup that's fully run by ai agents while i play chess and read about generation warfare (5GW/6GW).


what i work with

languages    -> python
ml/dl        -> pytorch, tensorflow, keras, scikit-learn
nlp & llms   -> hugging face, langchain, spacy, nltk, gensim, rag, prompt eng
cv           -> opencv, yolov8
tools        -> docker, git, linux, aws, streamlit, gradio
databases    -> mysql, sqlite, chromadb

projects i worked on

project what it does stack
russ private offline rag tutor that eats course pdfs and answers questions with citations. zero cloud leakage. built for queen's. python, rag, langchain
multimodal-chatbot chatbot that understands both text and images. visual understanding meets conversational ai. python, cv, nlp
web-search gradio app that combines google search + gemini ai for grounded, cited responses python, gradio, gemini
instructor-for-agentic-ai ai-powered instructor using groq api + gradio for teaching agentic ai concepts python, groq, gradio
automated_ml zero-code automl platform. upload data, get models. that simple. python, scikit-learn
sentiment-analysis sentiment classifier with naive bayes + lstm. 93% accuracy. python, nltk, tensorflow
semantic-search semantic search engine using tfidf, lsi, and labse. 87% map. python, gensim, spacy
deep-neural-networks comprehensive guide to building dnns from scratch. notebooks included. python, tensorflow

competitions

arabic abstractive summarization @ icmtc-23 - fine-tuned mt5 for arabic text summarization. rouge scores: r1=0.10, r2=0.02, rl=0.08.

terrorist detection @ itc-23 - yolov8x + autodistill for civilian/military classification and weapon detection. 0.738 map50.


stats


profile views

if you made it this far, you should probably just follow me tbh

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